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A code graph can show how a project is organized; a session timeline can show how work unfolded. The open-source session-trail Claude Code plugin puts sessions in separate lanes, marks prompts and selected milestones, and connects work that continues in a later session. It is designed to complement a code graph, not replace one.

What the timeline shows

In the author’s description, the timeline is a history of selected work across Claude Code sessions. Each session occupies its own lane. Milestone nodes represent a decision or a completed piece of work, while curves connect a later session to an earlier line of work when it continues across sessions. Small ticks mark prompts along the time axis.

Time moves linearly within a session, but idle gaps are compressed so distinct periods of activity can be viewed together. Selecting a milestone reveals its title, what happened, why and how, nearby file touches, the session ID, and a path to the local transcript. Selecting a prompt tick shows the original prompt text.

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This gives the timeline a different job from a code-structure graph: the graph describes relationships in the project, while the timeline arranges recorded prompts and selected work chronologically, including links between sessions. The author presents the two views as companions.

How prompts and milestones are recorded

The repository describes two different capture paths. Hooks record sessions, prompts, file touches, and session titles. Milestones are selective: when the agent judges that a decision, reversal, completed unit, or cross-session continuation is worth recording, it sends a short brief to a Sonnet scribe subagent. The scribe drafts the milestone’s title, what, why, and how; its rationale is required to include rejected alternatives.

A session-end safety net can create an automatic node if work took place without a milestone being recorded. That fallback does not make every important decision guaranteed to appear. The project documentation describes its intended behavior, not independent tests of how consistently it captures rationale.

“The prompt ticks matter: they are the mechanical, complete record of what you asked, independent of the LLM’s judgment.”

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— The project author, session-trail README

The distinction matters when reading the visualization: prompt ticks are described as hook-recorded events, whereas milestone summaries depend on the agent’s judgment and a scribe’s drafting. The README’s statement is the author’s design claim, not an independently verified guarantee.

Install and open the viewer

The project README lists Node.js 18 or newer and says session-trail has no npm dependencies. Its documented Claude Code setup is:

  1. In Claude Code, add the marketplace with /plugin marketplace add jsk4581/session-trail.
  2. Install the plugin with /plugin install session-trail@session-trail.
  3. Open the timeline with /session-trail:view.

The README also documents a manual note command and CLI commands for showing, searching, querying file history, serving the viewer, and checking the installation. Consult the repository README for the exact command syntax and current setup details.

Where the history is stored—and what to check before sharing

According to the README, records live in the project’s .session-trail/ directory. It includes an append-only events.jsonl file and a derived graph cache. You can commit this directory to share the history with teammates, or add it to .gitignore to keep it personal.

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Prompts are recorded verbatim and truncated at 2,000 characters. That can make the event file sensitive: prompts may contain internal details or other information you do not intend to share. Review .session-trail/events.jsonl before committing the directory, and choose deliberately whether the team needs the recorded history.

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The README says the viewer binds to 127.0.0.1 by default and that data endpoints require a per-start token. Serving on another interface is an explicit option. Treat that as a change to the exposure boundary: use the documented serving options with care, especially when the project history contains private prompts.

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What the timeline can—and cannot—tell you

A timeline can make recorded continuity easier to inspect: which prompt preceded a milestone, what the project author says changed, and where a later session resumed an earlier thread. It does not turn the full development process into a verified audit trail. Prompt capture and milestone generation work differently, and milestone content is selected and drafted by an LLM workflow.

The DEV Community article describing the project was posted September 17, 2026, and says it was originally published at GitHub. The repository README documents the implementation and setup. Neither source supplies independent performance testing or measured evidence of accuracy, time saved, or reliability. Developers evaluating it should regard the feature descriptions as project documentation and decide whether the recorded prompts and selected milestones fit their own privacy and continuity needs.

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Questions to consider for a durable agent-work history

The author’s closing question is useful beyond this plugin: what belongs on a timeline, and how do developers keep track of work that spans many agent sessions? A useful history may need prompt fidelity, decision rationale, rejected alternatives, file context, and explicit links between sessions—but capturing more also means preserving more potentially sensitive project information.

What would you want on a timeline like this, and how do you currently maintain continuity across coding-agent sessions?

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